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Update docs/src/catalyst_applications/dynamical_systems.md
Co-authored-by: George Datseris <[email protected]>
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docs/src/catalyst_applications/dynamical_systems.md

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@@ -118,7 +118,7 @@ Next, we compute the Lyapunov spectrum at one of the initial conditions:
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ds = CoupledODEs(oprob1, (alg = Rodas5P(autodiff=false),))
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lyapunovspectrum(ds, 100)
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```
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Here, all Lyapunov exponents are negative, confirming that the brusselator (at this point) is non-chaotic.
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Here, all Lyapunov exponents are negative, confirming that the brusselator is non-chaotic.
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More details on how to compute Lyapunov exponents using DynamicalSystems.jl can be found [here](https://juliadynamics.github.io/ChaosTools.jl/stable/lyapunovs/). A full overview of tools for analysing chaotic behaviours (using the "ChaosTools.jl subpackage) can be found [here](https://juliadynamics.github.io/ChaosTools.jl/stable/).
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